About Us

We are dedicated to designing advanced computational and machine learning algorithms for biomedical data analysis, primarily focusing on medical images, to improve medical decision-making.

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  Developing multi-modal learning algorithms to intergrate multi-scale biomedical data for disease prevention, diagnosis, and prognosis.

• Building real-world learning systems to learn reliable, generalizable, and fair representations from imperfect medical data.

• Developing causality-based learning algorithms to improve its interpretability for healthcare problems.

• Also looking forward to your ideas.